Modeling chain collisions in vehicular networks with variable penetration rates

The vehicular ad hoc network has great potential in improving traffic safety. One of the most important and interesting issues in the research community is the safety evaluation with limited penetration rates of vehicles equipped with inter-vehicular communications. In this paper, a stochastic model is proposed for analyzing the vehicle chain collisions. It takes into account the influences of different penetration rates, the stochastic nature of inter-vehicular distance distribution, and the different kinematic parameters related to driver and vehicle. The usability and accuracy of this model is tested and proved by comparative experiments with Monte Carlo simulations. The collision outcomes of a platoon in different penetration rates and traffic scenarios are also analyzed based on this model. These results are useful to provide theoretical insights into the safety control of a heterogeneous platoon.     

Identification of freeway crash-prone traffic conditions for traffic flow at different levels of service

The primary objective of this study was to evaluate the risks of crashes associated with the freeway traffic flow operating at various levels of service (LOS) and to identify crash-prone traffic conditions for each LOS. The results showed that the traffic flow operating at LOS E had the highest crash potential, followed by LOS F and D. The traffic flow operating at LOS B and A had the lowest crash potential. For LOS A and B, the vehicle platoon and abrupt change in vehicle speeds were major contributing factors to crash occurrences. For LOS C, crash risks were correlated with lane-change maneuvers, speed variation, and small headways in traffic. For LOS D, crash risks increased with an increase in the temporal change in traffic flow variables and the frequency of lane-change maneuvers. For LOS E, crash risks were mainly affected by high traffic volumes and oscillating traffic conditions. For LOS F, crash risks increased with an increase in the standard deviation of flow rate and the frequency of lane-change maneuvers. The findings suggested that the mechanism of crashes were quite different across various LOS. A Bayesian random-parameters logistic regression model was developed to identify crash-prone traffic conditions for various LOS. The proposed model significantly improved the prediction performance as compared to the conventional logistic regression model.     

地铁车厢内无线组网可靠性研究

介绍地铁车厢内信号传输损耗的模型,提出3种组网方案并分析不同方案的优劣,最后利用OMNET＋＋仿真软件对组网方案的可靠性进行了对比,并利用无线收发模块在实际运行的地铁车厢内进行了点对点的测试,验证了组网方案的设计是可行的也是有意义的。     

我国内源品牌型电子信息企业的升级路径研究

本文对比分析了OEM型和内源品牌型电子信息企业的特点,并结合安例提出内源品牌型电子信息的升级路径,即:在全球价值链中,我国内源品牌型电子信息企业应在价值链分工中寻找产业转移和分包机会,通过创新性技术供给和自主创新品牌战略、价值链重构、跨国并购,以实现产业升级与发展。     

依靠科技创新 创建振东效率品牌

介绍了重视科技创新的上海港振东集装箱码头公司。该公司采取了许多措施,如制定科技发展规划,培养勇于创新的人才,承接重点项目等,由此促进公司发展,取得良好效果。     

论英文商标汉译的内质性

通过对广告上出现的英文商标的中文翻译进行比较研究,概括出了英文商标翻译的本真特点,归纳出了七种英文商标汉译的基本方法,即音译、意译、谐音取义、音意结合、转译、改译、缩写以及翻译须把握的四大原则。     

拱桥侧墙病害链式机理及其断链减灾方法

文章根据灾害链式理论,分析了拱桥侧墙病害的链式机理及规律,提出了基于断链减灾思想的加固治理方法。通过工程实践证明,基于链式理论的病害分析与加固治理方法是可行的。     

航运企业打造山东船员品牌的几点思考

打造山东船员品牌,对于实现由船员大省向船员强省转变意义重大。笔者就现阶段船员市场存在的问题进行分析,并提出了航运企业在打造船员品牌中的总体工作思路和主要措施。     

基于K近邻算法的沥青红外光谱质量控制

沥青质量的优劣直接影响沥青路面的性能。红外光谱技术作为一种无损、快速的微观分析手段,能够对沥青品牌进行识别,对于沥青质量控制具有十分重要的意义。为提高沥青红外光谱技术质量控制的准确性,选取K近邻算法对红外光谱数据进行解析和训练,共收集了7种不同品牌的共336个沥青样本,通过衰减全反射傅里叶变换红外光谱仪对其进行光谱采集和分析。结果表明,使用K近邻算法对沥青红外光谱数据分析具有可行性;当K=6,且σ=0.1时,此时沥青品牌预测误差最小,识别准确率达到95%左右。